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<a href="utils_2_utils_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2016-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifndef __UTILS_UTILS_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#define __UTILS_UTILS_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_helpers_8h.xhtml">arm_compute/core/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tensor_8h.xhtml">arm_compute/core/ITensor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_validate_8h.xhtml">arm_compute/core/Validate.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_window_8h.xhtml">arm_compute/core/Window.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;libnpy/npy.hpp&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#ifdef ARM_COMPUTE_CL</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_open_c_l_8h.xhtml">arm_compute/core/CL/OpenCL.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_distribution1_d_8h.xhtml">arm_compute/runtime/CL/CLDistribution1D.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CL */</span><span class="preprocessor"></span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_g_c_tensor_8h.xhtml">arm_compute/runtime/GLES_COMPUTE/GCTensor.h</a>&quot;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#include &lt;cstdlib&gt;</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor">#include &lt;cstring&gt;</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="preprocessor">#include &lt;fstream&gt;</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="preprocessor">#include &lt;tuple&gt;</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;{</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="keyword">namespace </span>utils</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml">   62</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;{</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609">   65</a></span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609">do_setup</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv) {};</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">   66</a></span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">do_run</a>() {};</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5">   67</a></span>&#160;    <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5">do_teardown</a>() {};</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keyword">virtual</span> <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b">~Example</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;};</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8c0c1084048e5b60a60d7ea85fd9a96a">run_example</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv, <a class="code" href="classarm__compute_1_1utils_1_1_example.xhtml">Example</a> &amp;example);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#ac6126fda74b244d4c9a75328a3f436a3">   82</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8c0c1084048e5b60a60d7ea85fd9a96a">run_example</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;{</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    T example;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a8c0c1084048e5b60a60d7ea85fd9a96a">run_example</a>(argc, argv, example);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;}</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357">draw_detection_rectangle</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a> *tensor, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_detection_window.xhtml">arm_compute::DetectionWindow</a> &amp;rect, uint8_t r, uint8_t g, uint8_t <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">b</a>);</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;std::tuple&lt;unsigned int, unsigned int, int&gt; <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(std::ifstream &amp;fs);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;std::tuple&lt;std::vector&lt;unsigned long&gt;, bool, std::string&gt; <a class="code" href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">parse_npy_header</a>(std::ifstream &amp;fs);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">  122</a></span>&#160;<span class="keyword">inline</span> std::string <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">get_typestring</a>(<a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;{</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="comment">// Check endianness</span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">char</span>        *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">c</a> = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">char</span> *<span class="keyword">&gt;</span>(&amp;i);</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    std::string        endianness;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <span class="keywordflow">if</span>(*c == 1)</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    {</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        endianness = std::string(<span class="stringliteral">&quot;&lt;&quot;</span>);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    }</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    {</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        endianness = std::string(<span class="stringliteral">&quot;&gt;&quot;</span>);</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    }</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    <span class="keyword">const</span> std::string no_endianness(<span class="stringliteral">&quot;|&quot;</span>);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <span class="keywordflow">switch</span>(data_type)</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    {</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>:</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>:</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;            <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">&quot;u&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint8_t));</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">DataType::S8</a>:</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;            <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">&quot;i&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int8_t));</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">DataType::U16</a>:</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;            <span class="keywordflow">return</span> endianness + <span 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class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">DataType::U32</a>:</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;u&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint32_t));</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">DataType::S32</a>:</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;i&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int32_t));</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">DataType::U64</a>:</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;u&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint64_t));</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">DataType::S64</a>:</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;i&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int64_t));</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;f&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">DataType::F64</a>:</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;f&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">DataType::SIZET</a>:</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;            <span class="keywordflow">return</span> endianness + <span class="stringliteral">&quot;u&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">size_t</span>));</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;NOT SUPPORTED!&quot;</span>);</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    }</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;}</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">  174</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(T &amp;tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;{</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(blocking);</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;}</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">  185</a></span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(T &amp;tensor)</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;{</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;}</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<span class="preprocessor">#ifdef ARM_COMPUTE_CL</span></div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &amp;tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;{</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;}</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &amp;tensor)</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;}</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml">CLDistribution1D</a> &amp;distribution, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;{</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    distribution.<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;}</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml">CLDistribution1D</a> &amp;distribution)</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;{</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    distribution.<a class="code" href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;}</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CL */</span><span class="preprocessor"></span></div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;<span class="preprocessor">#ifdef ARM_COMPUTE_GC</span></div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml">GCTensor</a> &amp;tensor, <span class="keywordtype">bool</span> blocking)</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;{</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    tensor.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(blocking);</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;}</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml">GCTensor</a> &amp;tensor)</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;{</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    tensor.<a class="code" href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;}</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_GC */</span><span class="preprocessor"></span></div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">  253</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">PPMLoader</a></div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;{</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00256"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c">  256</a></span>&#160;    <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c">PPMLoader</a>()</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        : _fs(), _width(0), _height(0)</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    {</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;    }</div><div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">  264</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">open</a>(<span class="keyword">const</span> std::string &amp;ppm_filename)</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    {</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(is_open());</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        {</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            _fs.exceptions(std::ifstream::failbit | std::ifstream::badbit);</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;            _fs.open(ppm_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;            <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> max_val = 0;</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;            std::tie(_width, _height, max_val) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">parse_ppm_header</a>(_fs);</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(max_val &gt;= 256, <span class="stringliteral">&quot;2 bytes per colour channel not supported in file %s&quot;</span>, ppm_filename.c_str());</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;        }</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        <span class="keywordflow">catch</span>(std::runtime_error &amp;e)</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;        {</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Accessing %s: %s&quot;</span>, ppm_filename.c_str(), e.what());</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;        }</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    }</div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">  284</a></span>&#160;    <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>()</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    {</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;        <span class="keywordflow">return</span> _fs.is_open();</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    }</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00295"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">  295</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">init_image</a>(T &amp;image, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a> format)</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    {</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(format != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a> &amp;&amp; format != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>);</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        <span class="comment">// Use the size of the input PPM image</span></div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a> image_info(_width, _height, format);</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;        image.allocator()-&gt;init(image_info);</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    }</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">  312</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">fill_image</a>(T &amp;image)</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    {</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(image.info()-&gt;dimension(0) != _width || image.info()-&gt;dimension(1) != _height);</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        <a class="code" href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a>(&amp;image, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>);</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        {</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;            <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(image, <span class="keyword">true</span>);</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;            <span class="comment">// Check if the file is large enough to fill the image</span></div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;            _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;            _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((end_position - current_position) &lt; image.info()-&gt;tensor_shape().total_size() * image.info()-&gt;element_size(),</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;                                     <span class="stringliteral">&quot;Not enough data in file&quot;</span>);</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;            <span class="keywordflow">switch</span>(image.info()-&gt;format())</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;            {</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>:</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;                {</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;                    <span class="comment">// We need to convert the data from RGB to grayscale:</span></div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;                    <span class="comment">// Iterate through every pixel of the image</span></div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;                    <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;                    window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, _width, 1));</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;                    window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, _height, 1));</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;                    <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&amp;image, window);</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;                    <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> red   = 0;</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;                    <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> green = 0;</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;                    <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> blue  = 0;</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;                    <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;                    {</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;                        red   = _fs.get();</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;                        green = _fs.get();</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;                        blue  = _fs.get();</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;                        *out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() = 0.2126f * red + 0.7152f * green + 0.0722f * blue;</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;                    },</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;                    out);</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;                }</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>:</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;                {</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;                    <span class="comment">// There is no format conversion needed: we can simply copy the content of the input file to the image one row at the time.</span></div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;                    <span class="comment">// Create a vertical window to iterate through the image&#39;s rows:</span></div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;                    <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;                    window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, _height, 1));</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;                    <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&amp;image, window);</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;                    <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;                    {</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;                        <span class="comment">// Copy one row from the input file to the current row of the image:</span></div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;                        _fs.read(reinterpret_cast&lt;std::fstream::char_type *&gt;(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), _width * image.info()-&gt;element_size());</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;                    },</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;                    out);</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;                }</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;                <span class="keywordflow">default</span>:</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;                    <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported format&quot;</span>);</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;            }</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;            <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(image);</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;        }</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;        <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &amp;e)</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;        {</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Loading PPM file: %s&quot;</span>, e.what());</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;        }</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    }</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">  399</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">fill_planar_tensor</a>(T &amp;tensor, <span class="keywordtype">bool</span> bgr = <span class="keyword">false</span>)</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    {</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;        <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&amp;tensor, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">DataType::U8</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor.info()-&gt;dimension(0) != _width || tensor.info()-&gt;dimension(1) != _height || tensor.info()-&gt;dimension(2) != 3);</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;        {</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;            <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;            <span class="comment">// Check if the file is large enough to fill the image</span></div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;            _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;            _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((end_position - current_position) &lt; tensor.info()-&gt;tensor_shape().total_size(),</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;                                     <span class="stringliteral">&quot;Not enough data in file&quot;</span>);</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;            <span class="comment">// Iterate through every pixel of the image</span></div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;            <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;            window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, _width, 1));</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;            window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, _height, 1));</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;            window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;</div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;            <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> out(&amp;tensor, window);</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;</div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;            <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> red   = 0;</div><div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;            <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> green = 0;</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;            <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> blue  = 0;</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;            <span class="keywordtype">size_t</span> stride_z = tensor.info()-&gt;strides_in_bytes()[2];</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;            {</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;                red   = _fs.get();</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;                green = _fs.get();</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                blue  = _fs.get();</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;</div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;                <span class="keywordflow">switch</span>(tensor.info()-&gt;data_type())</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                {</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;                    <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::DataType::U8</a>:</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;                    {</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;                        *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 0 * stride_z) = bgr ? blue : red;</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;                        *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 1 * stride_z) = green;</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;                        *(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 2 * stride_z) = bgr ? red : blue;</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;                        <span class="keywordflow">break</span>;</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;                    }</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;                    <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;                    {</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;                        *<span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 0 * stride_z) = static_cast&lt;float&gt;(bgr ? blue : red);</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;                        *<span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 1 * stride_z) = static_cast&lt;float&gt;(green);</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;                        *<span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(out.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>() + 2 * stride_z) = static_cast&lt;float&gt;(bgr ? red : blue);</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;                        <span class="keywordflow">break</span>;</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;                    }</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;                    <span class="keywordflow">default</span>:</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;                    {</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;                        <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported data type&quot;</span>);</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;                    }</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;                }</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;            },</div><div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            out);</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;            <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;        }</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;        <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &amp;e)</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;        {</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Loading PPM file: %s&quot;</span>, e.what());</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;        }</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    }</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;</div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3">  475</a></span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3">width</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;<span class="keyword">    </span>{</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;        <span class="keywordflow">return</span> _width;</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    }</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;</div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#aa420a28166e708e3f8b9ecc8e527fc09">  482</a></span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" 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class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;};</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;</div><div class="line"><a name="l00492"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">  492</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">NPYLoader</a></div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;{</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00495"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">  495</a></span>&#160;    <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">NPYLoader</a>()</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;        : _fs(), _shape(), _fortran_order(false), _typestring()</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;    {</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;    }</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;</div><div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">  504</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">open</a>(<span class="keyword">const</span> std::string &amp;npy_filename)</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    {</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(is_open());</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;        {</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;            _fs.exceptions(std::ifstream::failbit | std::ifstream::badbit);</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;            _fs.open(npy_filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;            std::tie(_shape, _fortran_order, _typestring) = <a class="code" href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">parse_npy_header</a>(_fs);</div><div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;        }</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;        <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &amp;e)</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;        {</div><div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Accessing %s: %s&quot;</span>, npy_filename.c_str(), e.what());</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;        }</div><div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;    }</div><div class="line"><a name="l00520"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">  520</a></span>&#160;    <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>()</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    {</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;        <span class="keywordflow">return</span> _fs.is_open();</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;    }</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;</div><div class="line"><a name="l00526"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">  526</a></span>&#160;    <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">is_fortran</a>()</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;    {</div><div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;        <span class="keywordflow">return</span> _fortran_order;</div><div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;    }</div><div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;</div><div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00537"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">  537</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">init_tensor</a>(T &amp;tensor, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> dt)</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    {</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(dt != <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>);</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;</div><div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;        <span class="comment">// Use the size of the input NPY tensor</span></div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>;</div><div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;        shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">set_num_dimensions</a>(_shape.size());</div><div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; _shape.size(); ++i)</div><div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;        {</div><div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;            shape.<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">set</a>(i, _shape.at(i));</div><div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;        }</div><div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;</div><div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;        <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a> tensor_info(shape, 1, dt);</div><div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;        tensor.allocator()-&gt;init(tensor_info);</div><div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    }</div><div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;</div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00561"></a><span class="lineno"><a class="line" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">  561</a></span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">fill_tensor</a>(T &amp;tensor)</div><div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    {</div><div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(!is_open());</div><div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;        <a class="code" href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a>(&amp;tensor, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>);</div><div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;        <span class="keywordflow">try</span></div><div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;        {</div><div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;            <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;</div><div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;            <span class="comment">// Check if the file is large enough to fill the tensor</span></div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> current_position = _fs.tellg();</div><div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;            _fs.seekg(0, std::ios_base::end);</div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;            <span class="keyword">const</span> <span class="keywordtype">size_t</span> end_position = _fs.tellg();</div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;            _fs.seekg(current_position, std::ios_base::beg);</div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;</div><div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>((end_position - current_position) &lt; tensor.info()-&gt;tensor_shape().total_size() * tensor.info()-&gt;element_size(),</div><div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;                                     <span class="stringliteral">&quot;Not enough data in file&quot;</span>);</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(end_position);</div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;</div><div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;            <span class="comment">// Check if the typestring matches the given one</span></div><div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;            std::string expect_typestr = <a class="code" href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">get_typestring</a>(tensor.info()-&gt;data_type());</div><div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_typestring != expect_typestr, <span class="stringliteral">&quot;Typestrings mismatch&quot;</span>);</div><div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;</div><div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;            <span class="comment">// Validate tensor shape</span></div><div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(_shape.size() != tensor.info()-&gt;tensor_shape().num_dimensions(), <span class="stringliteral">&quot;Tensor ranks mismatch&quot;</span>);</div><div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;            <span class="keywordflow">if</span>(_fortran_order)</div><div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;            {</div><div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; _shape.size(); ++i)</div><div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;                {</div><div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;                    <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor.info()-&gt;tensor_shape()[i] != _shape[i], <span class="stringliteral">&quot;Tensor dimensions mismatch&quot;</span>);</div><div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;                }</div><div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;            }</div><div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;            <span class="keywordflow">else</span></div><div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;            {</div><div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> i = 0; i &lt; _shape.size(); ++i)</div><div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;                {</div><div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;                    <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(tensor.info()-&gt;tensor_shape()[i] != _shape[_shape.size() - i - 1], <span class="stringliteral">&quot;Tensor dimensions mismatch&quot;</span>);</div><div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;                }</div><div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;            }</div><div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;</div><div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;            <span class="keywordflow">switch</span>(tensor.info()-&gt;data_type())</div><div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;            {</div><div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;                <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;                {</div><div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;                    <span class="comment">// Read data</span></div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;                    <span class="keywordflow">if</span>(tensor.info()-&gt;padding().empty())</div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;                    {</div><div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;                        <span class="comment">// If tensor has no padding read directly from stream.</span></div><div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;                        _fs.read(reinterpret_cast&lt;char *&gt;(tensor.buffer()), tensor.info()-&gt;total_size());</div><div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;                    }</div><div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;                    <span class="keywordflow">else</span></div><div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;                    {</div><div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;                        <span class="comment">// If tensor has padding accessing tensor elements through execution window.</span></div><div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;                        <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;                        window.<a class="code" href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">use_tensor_dimensions</a>(tensor.info()-&gt;tensor_shape());</div><div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;</div><div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;                        <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;                        {</div><div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;                            _fs.read(reinterpret_cast&lt;char *&gt;(tensor.ptr_to_element(<span class="keywordtype">id</span>)), tensor.info()-&gt;element_size());</div><div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;                        });</div><div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;                    }</div><div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;</div><div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;                    <span class="keywordflow">break</span>;</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;                }</div><div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;                <span class="keywordflow">default</span>:</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;                    <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported data type&quot;</span>);</div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;            }</div><div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;</div><div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;            <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;            <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;        }</div><div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;        <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ifstream::failure &amp;e)</div><div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;        {</div><div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Loading NPY file: %s&quot;</span>, e.what());</div><div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;        }</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;    }</div><div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;    std::ifstream              _fs;</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;    std::vector&lt;unsigned long&gt; _shape;</div><div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    <span class="keywordtype">bool</span>                       _fortran_order;</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;    std::string                _typestring;</div><div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;};</div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;</div><div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00655"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">  655</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">save_to_ppm</a>(T &amp;tensor, <span class="keyword">const</span> std::string &amp;ppm_filename)</div><div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;{</div><div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;    <a class="code" href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a>(&amp;tensor, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>);</div><div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor.info()-&gt;num_dimensions() &gt; 2);</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;</div><div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;    std::ofstream fs;</div><div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;</div><div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;    {</div><div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;        fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;        fs.open(ppm_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;</div><div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width  = tensor.info()-&gt;tensor_shape()[0];</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = tensor.info()-&gt;tensor_shape()[1];</div><div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;</div><div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;        fs &lt;&lt; <span class="stringliteral">&quot;P6\n&quot;</span></div><div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;           &lt;&lt; width &lt;&lt; <span class="stringliteral">&quot; &quot;</span> &lt;&lt; height &lt;&lt; <span class="stringliteral">&quot; 255\n&quot;</span>;</div><div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;        <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;</div><div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;        <span class="keywordflow">switch</span>(tensor.info()-&gt;format())</div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;        {</div><div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a>:</div><div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;            {</div><div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;                <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, width, 1));</div><div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, height, 1));</div><div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;</div><div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;                <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&amp;tensor, window);</div><div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;</div><div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;                <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;                {</div><div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> = *in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>();</div><div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;</div><div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;                    fs &lt;&lt; value &lt;&lt; value &lt;&lt; <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div><div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;                },</div><div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;                in);</div><div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;</div><div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;            }</div><div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a>:</div><div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;            {</div><div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;                <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, width, width));</div><div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, height, 1));</div><div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;</div><div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;                <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&amp;tensor, window);</div><div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;</div><div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;                <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;                {</div><div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;                    fs.write(reinterpret_cast&lt;std::fstream::char_type *&gt;(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), width * tensor.info()-&gt;element_size());</div><div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;                },</div><div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;                in);</div><div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;</div><div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;            }</div><div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;            <span class="keywordflow">default</span>:</div><div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;                <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported format&quot;</span>);</div><div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;        }</div><div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;</div><div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;        <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;    }</div><div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;    <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &amp;e)</div><div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;    {</div><div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Writing %s: (%s)&quot;</span>, ppm_filename.c_str(), e.what());</div><div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;    }</div><div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;}</div><div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;</div><div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00736"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">  736</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">save_to_npy</a>(T &amp;tensor, <span class="keyword">const</span> std::string &amp;npy_filename, <span class="keywordtype">bool</span> fortran_order)</div><div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;{</div><div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;    <a class="code" href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a>(&amp;tensor, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>);</div><div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;    <a class="code" href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(tensor.info()-&gt;num_dimensions() &gt; 2);</div><div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;</div><div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;    std::ofstream fs;</div><div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;</div><div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;    {</div><div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;        fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;        fs.open(npy_filename, std::ios::out | std::ios::binary);</div><div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;</div><div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>              width  = tensor.info()-&gt;tensor_shape()[0];</div><div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>              height = tensor.info()-&gt;tensor_shape()[1];</div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;        std::vector&lt;npy::ndarray_len_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(2);</div><div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;</div><div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;        <span class="keywordflow">if</span>(!fortran_order)</div><div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;        {</div><div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;            shape[0] = height, shape[1] = width;</div><div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;        }</div><div class="line"><a name="l00756"></a><span class="lineno">  756</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;        {</div><div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;            shape[0] = width, shape[1] = height;</div><div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;        }</div><div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;</div><div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;        <span class="comment">// Map buffer if creating a CLTensor</span></div><div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;</div><div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;        <span class="keywordflow">switch</span>(tensor.info()-&gt;data_type())</div><div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;        {</div><div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;            <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;            {</div><div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;                std::vector&lt;float&gt; tmp; <span class="comment">/* Used only to get the typestring */</span></div><div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;                npy::Typestring    typestring_o{ tmp };</div><div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;                std::string        typestring = typestring_o.str();</div><div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;</div><div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;                std::ofstream stream(npy_filename, std::ofstream::binary);</div><div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;                npy::write_header(stream, typestring, fortran_order, shape);</div><div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;</div><div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;                <a class="code" href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a> window;</div><div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, width, 1));</div><div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;                window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, height, 1));</div><div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;</div><div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;                <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&amp;tensor, window);</div><div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;</div><div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;                <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;                {</div><div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;                    stream.write(reinterpret_cast&lt;const char *&gt;(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div><div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;                },</div><div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;                in);</div><div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;</div><div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;            }</div><div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;            <span class="keywordflow">default</span>:</div><div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;                <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported format&quot;</span>);</div><div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;        }</div><div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;</div><div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;        <span class="comment">// Unmap buffer if creating a CLTensor</span></div><div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;    }</div><div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;    <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &amp;e)</div><div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;    {</div><div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Writing %s: (%s)&quot;</span>, npy_filename.c_str(), e.what());</div><div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;    }</div><div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;}</div><div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;</div><div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00808"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc">  808</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc">load_trained_data</a>(T &amp;tensor, <span class="keyword">const</span> std::string &amp;filename)</div><div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;{</div><div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;    <a class="code" href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a>(&amp;tensor, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;</div><div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;    std::ifstream fs;</div><div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;</div><div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;    <span class="keywordflow">try</span></div><div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;    {</div><div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;        fs.exceptions(std::ofstream::failbit | std::ofstream::badbit | std::ofstream::eofbit);</div><div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;        <span class="comment">// Open file</span></div><div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;        fs.open(filename, std::ios::in | std::ios::binary);</div><div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;</div><div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;        <span class="keywordflow">if</span>(!fs.good())</div><div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;        {</div><div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;            <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">&quot;Could not load binary data: &quot;</span> + filename);</div><div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;        }</div><div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;</div><div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;        <span class="comment">// Map buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;</div><div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;        <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;</div><div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;        window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;</div><div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d &lt; tensor.info()-&gt;num_dimensions(); ++d)</div><div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;        {</div><div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;            window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(d, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, tensor.info()-&gt;tensor_shape()[d], 1));</div><div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;        }</div><div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;</div><div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;        <a class="code" href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a> in(&amp;tensor, window);</div><div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;</div><div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;        {</div><div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;            fs.read(reinterpret_cast&lt;std::fstream::char_type *&gt;(in.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()), tensor.info()-&gt;tensor_shape()[0] * tensor.info()-&gt;element_size());</div><div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;        },</div><div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;        in);</div><div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;</div><div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;        <span class="comment">// Unmap buffer if creating a CLTensor/GCTensor</span></div><div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;        <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;    }</div><div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;    <span class="keywordflow">catch</span>(<span class="keyword">const</span> std::ofstream::failure &amp;e)</div><div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    {</div><div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;        <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Writing %s: (%s)&quot;</span>, filename.c_str(), e.what());</div><div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;    }</div><div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;}</div><div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;</div><div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00855"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">  855</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">fill_random_tensor</a>(T &amp;tensor, <span class="keywordtype">float</span> lower_bound, <span class="keywordtype">float</span> upper_bound)</div><div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;{</div><div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;    std::random_device rd;</div><div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;    std::mt19937       gen(rd());</div><div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;</div><div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;    <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>(tensor.info()-&gt;dimension(0), tensor.info()-&gt;dimension(1));</div><div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;</div><div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> window;</div><div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;    window.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x(), 1));</div><div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;    window.set(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.y(), 1));</div><div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;</div><div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;    <a class="code" href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">map</a>(tensor, <span class="keyword">true</span>);</div><div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;</div><div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;    <a class="code" href="classarm__compute_1_1_iterator.xhtml">Iterator</a> it(&amp;tensor, window);</div><div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;</div><div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160;    <span class="keywordflow">switch</span>(tensor.info()-&gt;data_type())</div><div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;    {</div><div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::DataType::F32</a>:</div><div class="line"><a name="l00873"></a><span class="lineno">  873</span>&#160;        {</div><div class="line"><a name="l00874"></a><span class="lineno">  874</span>&#160;            std::uniform_real_distribution&lt;float&gt; dist(lower_bound, upper_bound);</div><div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;</div><div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;            <a class="code" href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">execute_window_loop</a>(window, [&amp;](<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;            {</div><div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;                *<span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(it.<a class="code" href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">ptr</a>()) = dist(gen);</div><div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;            },</div><div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;            it);</div><div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;</div><div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;            <span class="keywordflow">break</span>;</div><div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;        }</div><div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;        {</div><div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;            <a class="code" href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">&quot;Unsupported format&quot;</span>);</div><div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;        }</div><div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;    }</div><div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;</div><div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;    <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">unmap</a>(tensor);</div><div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;}</div><div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;</div><div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00894"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">  894</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">init_sgemm_output</a>(T &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>, T &amp;src0, T &amp;src1, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> dt)</div><div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;{</div><div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    dst.allocator()-&gt;init(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(src1.info()-&gt;dimension(0), src0.info()-&gt;dimension(1)), 1, dt));</div><div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;}</div><div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;uint64_t <a class="code" href="namespacearm__compute_1_1utils.xhtml#afb7b08e5c044dba650037628089a4e7c">get_mem_free_from_meminfo</a>();</div><div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;} <span class="comment">// namespace utils</span></div><div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00905"></a><span class="lineno">  905</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __UTILS_UTILS_H__*/</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_aa420a28166e708e3f8b9ecc8e527fc09"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#aa420a28166e708e3f8b9ecc8e527fc09">arm_compute::utils::PPMLoader::height</a></div><div class="ttdeci">unsigned int height() const </div><div class="ttdoc">Return the height of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00482">Utils.h:482</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a1672610b872bef30d0dc2333a0ffc402"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a1672610b872bef30d0dc2333a0ffc402">arm_compute::utils::PPMLoader::fill_image</a></div><div class="ttdeci">void fill_image(T &amp;image)</div><div class="ttdoc">Fill an image with the content of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00312">Utils.h:312</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a301d0b7bfd70f73fc1924f4281938d08"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a301d0b7bfd70f73fc1924f4281938d08">arm_compute::utils::save_to_ppm</a></div><div class="ttdeci">void save_to_ppm(T &amp;tensor, const std::string &amp;ppm_filename)</div><div class="ttdoc">Template helper function to save a tensor image to a PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00655">Utils.h:655</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00133">Convolution.cpp:133</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_afb7b08e5c044dba650037628089a4e7c"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#afb7b08e5c044dba650037628089a4e7c">arm_compute::utils::get_mem_free_from_meminfo</a></div><div class="ttdeci">uint64_t get_mem_free_from_meminfo()</div><div class="ttdoc">This function returns the amount of memory free reading from /proc/meminfo. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00199">Utils.cpp:199</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
<div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a96b30c1d1256c2ab3f731a162ad08609"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a96b30c1d1256c2ab3f731a162ad08609">arm_compute::utils::Example::do_setup</a></div><div class="ttdeci">virtual void do_setup(int argc, char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00065">Utils.h:65</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a8aa067630bcfd267bf3389ae27e70e76"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">arm_compute::utils::NPYLoader::is_fortran</a></div><div class="ttdeci">bool is_fortran()</div><div class="ttdoc">Return true if a NPY file is in fortran order. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00526">Utils.h:526</a></div></div>
<div class="ttc" id="_i_tensor_8h_xhtml"><div class="ttname"><a href="_i_tensor_8h.xhtml">ITensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a8c0c1084048e5b60a60d7ea85fd9a96a"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a8c0c1084048e5b60a60d7ea85fd9a96a">arm_compute::utils::run_example</a></div><div class="ttdeci">int run_example(int argc, char **argv, Example &amp;example)</div><div class="ttdoc">Run an example and handle the potential exceptions it throws. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00070">Utils.cpp:70</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a6e3c7f7584c89bfed519597f40c08528"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">arm_compute::utils::NPYLoader::init_tensor</a></div><div class="ttdeci">void init_tensor(T &amp;tensor, arm_compute::DataType dt)</div><div class="ttdoc">Initialise the tensor&amp;#39;s metadata with the dimensions of the NPY file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00537">Utils.h:537</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="core_2_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00306">Error.h:306</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::Format::U8</a></div><div class="ttdoc">1 channel, 1 U8 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &amp;&amp;value)</div><div class="ttdoc">Convert integer and float values to string. </div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00187">ToolchainSupport.h:187</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a0d34a8aa07600727e4e5034c7cdad47d"><div class="ttname"><a href="_validate_8h.xhtml#a0d34a8aa07600727e4e5034c7cdad47d">ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00606">Validate.h:606</a></div></div>
<div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div>
<div class="ttc" id="_window_8h_xhtml"><div class="ttname"><a href="_window_8h.xhtml">Window.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a055a51a536088065021a54e13968521d"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">arm_compute::utils::NPYLoader::fill_tensor</a></div><div class="ttdeci">void fill_tensor(T &amp;tensor)</div><div class="ttdoc">Fill a tensor with the content of the currently open NPY file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00561">Utils.h:561</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="core_2_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00238">Error.h:238</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image&amp;#39;s dimensions with a start, end and step. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00068">Window.h:68</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::Format::U16</a></div><div class="ttdoc">1 channel, 1 U16 per channel </div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div>
<div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml">arm_compute::GCTensor</a></div><div class="ttdoc">Interface for OpenGL ES tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_g_c_tensor_8h_source.xhtml#l00037">GCTensor.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml">arm_compute::CLDistribution1D</a></div><div class="ttdoc">CLDistribution1D object class. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_distribution1_d_8h_source.xhtml#l00036">CLDistribution1D.h:36</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="core_2_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00147">Error.h:147</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a14470b4cb59140a1b6ff3b8f16c89ab6"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a14470b4cb59140a1b6ff3b8f16c89ab6">arm_compute::Window::use_tensor_dimensions</a></div><div class="ttdeci">void use_tensor_dimensions(const TensorShape &amp;shape, size_t first_dimension=Window::DimX)</div><div class="ttdoc">Use the tensor&amp;#39;s dimensions to fill the window dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00240">Window.inl:240</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer. </div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a9b3acd6be09cf86066760caaa89f7be5"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a9b3acd6be09cf86066760caaa89f7be5">arm_compute::utils::Example::do_teardown</a></div><div class="ttdeci">virtual void do_teardown()</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00067">Utils.h:67</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a4ff2134cb88cb5a27120cddb98b59774"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a4ff2134cb88cb5a27120cddb98b59774">arm_compute::utils::unmap</a></div><div class="ttdeci">void unmap(T &amp;tensor)</div><div class="ttdoc">Unmaps a tensor if needed. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00185">Utils.h:185</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_abe777f4e6d2b0d9964eee32f5ae3fca7"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">arm_compute::utils::fill_random_tensor</a></div><div class="ttdeci">void fill_random_tensor(T &amp;tensor, float lower_bound, float upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00855">Utils.h:855</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::Format::S32</a></div><div class="ttdoc">1 channel, 1 S32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::DataType::S64</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml_aeabcf37a281d780c90ebe812149a7a84"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml#aeabcf37a281d780c90ebe812149a7a84">arm_compute::Iterator::ptr</a></div><div class="ttdeci">constexpr uint8_t * ptr() const </div><div class="ttdoc">Return a pointer to the current pixel. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00184">Helpers.inl:184</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::Format::RGB888</a></div><div class="ttdoc">3 channels, 1 U8 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a7990fd2b875e2f6d4c1eded54539cb19"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a7990fd2b875e2f6d4c1eded54539cb19">arm_compute::utils::get_typestring</a></div><div class="ttdeci">std::string get_typestring(DataType data_type)</div><div class="ttdoc">Obtain numpy type string from DataType. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00122">Utils.h:122</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a36e58f3e64f3851ebac7a9556b4704ed"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a36e58f3e64f3851ebac7a9556b4704ed">arm_compute::utils::PPMLoader::open</a></div><div class="ttdeci">void open(const std::string &amp;ppm_filename)</div><div class="ttdoc">Open a PPM file and reads its metadata (Width, height) </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00264">Utils.h:264</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::DataType::SIZET</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_a90b4bc2c4bae857bc3536f4a18e29772"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#a90b4bc2c4bae857bc3536f4a18e29772">arm_compute::utils::Example::do_run</a></div><div class="ttdeci">virtual void do_run()</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00066">Utils.h:66</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::Format::U32</a></div><div class="ttdoc">1 channel, 1 U32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00050">Types.h:50</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">arm_compute::utils::NPYLoader</a></div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00492">Utils.h:492</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a6c0dcc38187027dcb89cd9724bc5a823"><div class="ttname"><a href="namespacearm__compute.xhtml#a6c0dcc38187027dcb89cd9724bc5a823">arm_compute::execute_window_loop</a></div><div class="ttdeci">void execute_window_loop(const Window &amp;w, L &amp;&amp;lambda_function, Ts &amp;&amp;...iterators)</div><div class="ttdoc">Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8inl_source.xhtml#l00122">Helpers.inl:122</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a59ac86360353fd935c6979105da7aefa"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a59ac86360353fd935c6979105da7aefa">arm_compute::utils::NPYLoader::NPYLoader</a></div><div class="ttdeci">NPYLoader()</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00495">Utils.h:495</a></div></div>
<div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLDistribution1D::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer. </div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_acdab4f47904c52221c85cc80f408f183"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#acdab4f47904c52221c85cc80f408f183">arm_compute::utils::parse_npy_header</a></div><div class="ttdeci">std::tuple&lt; std::vector&lt; unsigned long &gt;, bool, std::string &gt; parse_npy_header(std::ifstream &amp;fs)</div><div class="ttdoc">Parse the npy header from an input file stream. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00175">Utils.cpp:175</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml">arm_compute::utils::Example</a></div><div class="ttdoc">Abstract Example class. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00062">Utils.h:62</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::PPMLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a PPM file is currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00284">Utils.h:284</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &amp;dim)</div><div class="ttdoc">Set the values of a given dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00041">Window.inl:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_distribution1_d_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_distribution1_d.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLDistribution1D::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::NPYLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a NPY file is currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00520">Utils.h:520</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::Format::S16</a></div><div class="ttdoc">1 channel, 1 S16 per channel </div></div>
<div class="ttc" id="_validate_8h_xhtml_aadf5c9cff86327b96d88d04649d9715e"><div class="ttname"><a href="_validate_8h.xhtml#aadf5c9cff86327b96d88d04649d9715e">ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00701">Validate.h:701</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3f8c80e5ec379049ad0a9ba1d8ad5547"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">arm_compute::utils::save_to_npy</a></div><div class="ttdeci">void save_to_npy(T &amp;tensor, const std::string &amp;npy_filename, bool fortran_order)</div><div class="ttdoc">Template helper function to save a tensor image to a NPY file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00736">Utils.h:736</a></div></div>
<div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00278">hwc.hpp:278</a></div></div>
<div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::GCTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer on the given queue. ...</div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a3095e0ccbbc39daf5b3816193edca6ad"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a3095e0ccbbc39daf5b3816193edca6ad">arm_compute::TensorShape::set</a></div><div class="ttdeci">TensorShape &amp; set(size_t dimension, size_t value)</div><div class="ttdoc">Accessor to set the value of one of the dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00077">TensorShape.h:77</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_example_xhtml_afeec4c960afa54ec7a45c519ad87cf2b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_example.xhtml#afeec4c960afa54ec7a45c519ad87cf2b">arm_compute::utils::Example::~Example</a></div><div class="ttdeci">virtual ~Example()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a9c3303817ba653b5d1e78efb88d02bcf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a9c3303817ba653b5d1e78efb88d02bcf">arm_compute::utils::map</a></div><div class="ttdeci">void map(T &amp;tensor, bool blocking)</div><div class="ttdoc">Maps a tensor if needed. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00174">Utils.h:174</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00297">Error.h:297</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a7c3f70e1caee95bb95c62346e130e5ab"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7c3f70e1caee95bb95c62346e130e5ab">arm_compute::utils::PPMLoader::fill_planar_tensor</a></div><div class="ttdeci">void fill_planar_tensor(T &amp;tensor, bool bgr=false)</div><div class="ttdoc">Fill a tensor with 3 planes (one for each channel) with the content of the currently open PPM file...</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00399">Utils.h:399</a></div></div>
<div class="ttc" id="structarm__compute_1_1_detection_window_xhtml"><div class="ttname"><a href="structarm__compute_1_1_detection_window.xhtml">arm_compute::DetectionWindow</a></div><div class="ttdoc">Detection window used for the object detection. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00463">Types.h:463</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_ad1b5373f466a3945e1f0ef1c9943c357"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#ad1b5373f466a3945e1f0ef1c9943c357">arm_compute::utils::draw_detection_rectangle</a></div><div class="ttdeci">void draw_detection_rectangle(ITensor *tensor, const DetectionWindow &amp;rect, uint8_t r, uint8_t g, uint8_t b)</div><div class="ttdoc">Draw a RGB rectangular window for the detected object. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00107">Utils.cpp:107</a></div></div>
<div class="ttc" id="_open_c_l_8h_xhtml"><div class="ttname"><a href="_open_c_l_8h.xhtml">OpenCL.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_g_c_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_g_c_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::GCTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer on the given queue. </div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3aa8f5f1b94f88fdf5b43a53e29379cf"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3aa8f5f1b94f88fdf5b43a53e29379cf">arm_compute::utils::parse_ppm_header</a></div><div class="ttdeci">std::tuple&lt; unsigned int, unsigned int, int &gt; parse_ppm_header(std::ifstream &amp;fs)</div><div class="ttdoc">Parse the ppm header from an input file stream. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00144">Utils.cpp:144</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00044">TensorInfo.h:44</a></div></div>
<div class="ttc" id="arm__compute_2core_2_helpers_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_helpers_8h.xhtml">Helpers.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a497347573faa3778743ddf277f861094"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a497347573faa3778743ddf277f861094">arm_compute::test::validation::c</a></div><div class="ttdeci">CLTensor c</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00123">GEMM.cpp:123</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a49afa04c8a5fd9ead48e07440b37294c"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a49afa04c8a5fd9ead48e07440b37294c">arm_compute::utils::PPMLoader::PPMLoader</a></div><div class="ttdeci">PPMLoader()</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00256">Utils.h:256</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a810a78f0b7cc0270f38d4136e023ea3b"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a810a78f0b7cc0270f38d4136e023ea3b">arm_compute::Dimensions::set_num_dimensions</a></div><div class="ttdeci">void set_num_dimensions(size_t num_dimensions)</div><div class="ttdoc">Set number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00128">Dimensions.h:128</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_af214346f90d640ac468dd90fa2a275cc"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#af214346f90d640ac468dd90fa2a275cc">arm_compute::utils::load_trained_data</a></div><div class="ttdeci">void load_trained_data(T &amp;tensor, const std::string &amp;filename)</div><div class="ttdoc">Load the tensor with pre-trained data from a binary file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00808">Utils.h:808</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a5988c0b8edbcd872e79d72cd47a8c18b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">arm_compute::utils::NPYLoader::open</a></div><div class="ttdeci">void open(const std::string &amp;npy_filename)</div><div class="ttdoc">Open a NPY file and reads its metadata. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00504">Utils.h:504</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::DataType::F64</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a69f2a0e263d4f77d1e166de9cd2746f7"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a69f2a0e263d4f77d1e166de9cd2746f7">arm_compute::utils::PPMLoader::init_image</a></div><div class="ttdeci">void init_image(T &amp;image, arm_compute::Format format)</div><div class="ttdoc">Initialise an image&amp;#39;s metadata with the dimensions of the PPM file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00295">Utils.h:295</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml_a7b736ec9a05be5c498760d35a0406ed3"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml#a7b736ec9a05be5c498760d35a0406ed3">arm_compute::utils::PPMLoader::width</a></div><div class="ttdeci">unsigned int width() const </div><div class="ttdoc">Return the width of the currently open PPM file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00475">Utils.h:475</a></div></div>
<div class="ttc" id="classarm__compute_1_1_iterator_xhtml"><div class="ttname"><a href="classarm__compute_1_1_iterator.xhtml">arm_compute::Iterator</a></div><div class="ttdoc">Iterator updated by execute_window_loop for each window element. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00257">Helpers.h:257</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7b8004eef325a40dd43eb80755610fff"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7b8004eef325a40dd43eb80755610fff">arm_compute::test::validation::b</a></div><div class="ttdeci">CLTensor b</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00122">GEMM.cpp:122</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::DataType::U64</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00072">Types.h:72</a></div></div>
<div class="ttc" id="_g_c_tensor_8h_xhtml"><div class="ttname"><a href="_g_c_tensor_8h.xhtml">GCTensor.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3ff90da00700526d89a0ee29f85fd804"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">arm_compute::utils::init_sgemm_output</a></div><div class="ttdeci">void init_sgemm_output(T &amp;dst, T &amp;src0, T &amp;src1, arm_compute::DataType dt)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00894">Utils.h:894</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::DataType::S8</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window. </div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="_c_l_distribution1_d_8h_xhtml"><div class="ttname"><a href="_c_l_distribution1_d_8h.xhtml">CLDistribution1D.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1utils_1_1_p_p_m_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_p_p_m_loader.xhtml">arm_compute::utils::PPMLoader</a></div><div class="ttdoc">Class to load the content of a PPM file into an Image. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00253">Utils.h:253</a></div></div>
<div class="ttc" id="_validate_8h_xhtml"><div class="ttname"><a href="_validate_8h.xhtml">Validate.h</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a4264d7e3318c4188e48127a75f3f0f8a"><div class="ttname"><a href="_validate_8h.xhtml#a4264d7e3318c4188e48127a75f3f0f8a">ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00655">Validate.h:655</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
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